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and most comprehensive dataset on multiple sclerosis (MS), encompassing longitudinal data from over 40,000 individuals, some tracked for more than a decade. You will be responsible for advancing and
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individuals, some tracked for more than a decade. You will be responsible for advancing and applying state-of-the-art probabilistic deep generative models, including conditional diffusion and flow matching
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. presentations, seminars, lab meetings…) as proven by track-record of scientific publications in leading journals and scientific dissemination Demonstrate excellent organisational skills, record keeping, academic
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digital twins using prediction-powered inference to enhance reliability assessment; The theoretical analysis and algorithmic development of methods rooted in statistical learning theory, multiple hypothesis
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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independently and as a multi-disciplined team Excellent verbal and written communication skills (e.g. presentations, seminars, lab meetings…) as proven by track-record of scientific publications in leading
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Ellison Institute of Technology, Oxford Limited | Oxford, England | United Kingdom | about 23 hours ago
the macroeconomic case for preventative health Developing health metrics using large datasets and causal inference techniques Theoretical models assessing welfare gains and resource allocation in health Economic
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Survey of Space and Time (LSST) and the Simons Observatory (SO), two surveys the JBCA is heavily involved in. One post will be centered on developing simulation-based inference methods for the joint
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stress, anxiety, depression, and loneliness, and how mental health vulnerabilities increase susceptibility to polarization. Leveraging network science, NLP, behavioral sensing, and causal inference
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to infer brain aging and injury mechanisms; and iv) study the potential relationship between exposure to head impacts and the development of neurodegenerative diseases such as Alzheimer's, Parkinson's and